Microsoft Technology Licensing, LLC

Lakshmi Narayana Mummidi

Parmjeet Singh

Arindam Biswas

Kristofer Noel Iverson

Siddhartha Cingh Arora

Pradeep Mayakontla

Sudharssun Subramanian

Kara Lane Ottewell

Priya Amod Samnerkar

Louis Tzu Leng Hong

A set of conversations taking place by users within a geographic location are identified. Keywords for a conversation under analysis, in that geographic location, are identified based on a frequency with which terms are used in the conversation under analysis and in the related conversations. The keywords are automatically added as searchable terms corresponding to the conversation under analysis, and a communication system is controlled to notify client components of the keywords.

Location-based conversation identifier

A computer device and method are configured to receive a user input across a plurality of points on a display surface of a user interface device. The device and method detect the user input and measure an amount of an input value at each of the plurality of points. Additionally, the device and method generate and display a display output based on a predefined programmable action corresponding to the amount of the input value at at least one of the respective points varying relative to the amount of the input value at one or more of other ones of the respective points.

Computer device having variable display output based on user input with variable time and/or pressure patterns

The techniques disclosed herein improve existing communication systems by automatically generating auto-response notices when a message to a user is related to a group with which the user is no longer a member. For example, after changing groups within a company, the user may still receive numerous messages related to the former group. Messages intended for this user may then be identified as related to a group with which the user is no longer associated based on the identity of the sender, other recipients of the message, the contents of the message, and a message context. The system may present an auto-response notice to the sender while the message is being drafted and before it has been sent. The auto-response notice alerts the sender of the changed group affiliation of the user.

Targeted auto-response messaging

Techniques described herein provide enhanced management of passwords for applications and services. Generally described, the techniques disclosed herein leverage the strength of existing security measures built into operating systems to generate and communicate encrypted passwords to enable components of a computing system to operate with a heightened level of security. In some configurations, the encryption of a password using strong keys that are associated with an identity improve the security of a computing device as well as improve the security, processing, and communication of secured documents and printing schemas. In some configurations, passwords for accessing documents are encrypted and embedded in printing schemas. The encrypted password is communicated between modules of an operating system in a process for generating PDF files having improved security. The claimed techniques also leverage components of existing systems without the requirement of additional libraries.

Enhanced management of passwords for printing applications and services

Mobile localization of communications allows users to communicate anonymously with other users who share a location that is mobile. The systems and methods provided herein distinguish users who are co-mobile from users who are merely co-located to enable mobile conversations to travel with co-mobile users without a dedicated communications connection being established beforehand between the users. The conversations travel with the co-mobile users and are not tied to a physical location, allowing for localized and anonymous communications for user who are travelling together.

Mobile localized communication for on-the-go users

The system includes a predictive model trained to estimate an amount of material to be used to fabricate three-dimensional objects. The system further includes an estimation component that receives information regarding the three-dimensional object. The estimation component, using the predictive model, estimates the amount of material to be used to fabricate the three-dimensional object based upon the information regarding the three-dimensional object. The estimation component compares the estimated amount of material with an available amount to determine whether the material available is less than the estimated amount of material to fabricate the three-dimensional object. When it is determined the material available is less than the estimated amount of material, the estimation component can perform an action such as preventing commencement of a fabrication process and/or providing information to a user. The predictive model can be adaptively updated based upon an actual amount of material used during the fabrication process.

Material estimate for fabrication of three-dimensional object

Intent-based reminders are provided. A user is enabled to initiate a reminder request based on an intent to enter or leave a given location. In a geofence training process, a plurality of geofences are created for plotting a path and subsequently tracking the user's traversal of the path for inferring the user's intent to depart or enter the location. A signal strength of a WLAN is recorded at each geofence. As the user traverses the path, a determination is made as to whether a predetermined percentage of the geofences is triggered in a sequential order by comparing the signal strength of the WLAN against the recorded WLAN signal strengths at the geofences. In some examples, signal strengths of neighboring WLANs are recorded and used to filter out false triggers. When a determination is made that the user's intent is to depart or enter the location, a reminder is provided.

Departure or entry intent-based reminders

Methods, systems, and devices are described herein for estimating a three dimensional (3D) print-time for generating a 3D object relative to one or more 3D model or printer parameters. In one aspect, at least one 3D model or printer parameter may be received for generating a 3D object by a 3D printer. Historical print-time data associated with at least one 3D model or printer parameter for generating other 3D objects may be obtained. Based on the received 3D model and printer parameters and the obtained historical print-time data, an estimated print-time for generating the 3D object by the 3D printer may be determined before slicing the 3D model by the 3D printer. In another aspect, a desired print-time for generating a 3D object may be received. One or more 3D model/print parameters may then be configured to achieve or exceed the desired print-time.

Determining print-time for generation of 3D objects based on 3D printing parameters

A digital assistant supported across computing devices is configured to interact with an operating system (OS) upgrade system so that various user experiences, services, content, or features associated with support for peripheral devices during an OS upgrade of a computing device can be provided by the digital assistant and rendered as a native digital assistant user experience. The digital assistant is configured to surface a notification through a user interface (UI) when an OS upgrade is available for a user's computing device and recommended for installation. The OS upgrade system executes a confidence model in a machine learning system using real world crowd-sourced data to make predictions of successful post-upgrade operations of peripheral devices with an associated level of confidence. The digital assistant personalizes the OS upgrade notification to the user based on the configuration of computing and peripheral devices, applicable context, and the confidence level.

Peripheral device support with a digital assistant for operating system upgrades

A pedestrian alert system supported on a mobile device such as a smartphone, tablet computer, or a wearable computing device which is employed by a user to engage in various activities, is configured to provide visual, auditory, or haptic alerts when the system uses location sensing and map data to determine the user's proximity to a pedestrian street crossing. The alert attracts the user's attention by having the user perform an explicit action to dismiss the alert before being able to continue with the activities on the device. Operations are suspended for applications rendering content on the device display (e.g., a touch screen), user inputs are disabled, and the display may be blurred, dimmed, obscured, or otherwise deactivated. The pedestrian alert system can take a snapshot of application state prior to suspension so that the applications can gracefully resume operations without disruption once the alert is manually or automatically dismissed.

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Bellevue, WA, United States of America

Lakshmi Narayana Mummidi